Abstract
The benefits of modeling the design to improve the quality and maintainability of software systems have long been advocated and recognized. Yet, the empirical evidence on this remains scarce. In this paper, we fill this gap by reporting on an empirical study of the relationship between UML modeling and software defect proneness in a large sample of open-source GitHub projects. Using statistical modeling, and controlling for confounding variables, we show that projects containing traces of UML models in their repositories experience, on average, a statistically minorly different number of software defects (as mined from their issue trackers) than projects without traces of UML models.
Original language | English |
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Title of host publication | Proceedings of the 16th International Conference on Mining Software Repositories (MSR 2019) |
Place of Publication | Piscataway |
Publisher | IEEE Computer Society |
Pages | 101-104 |
Number of pages | 4 |
ISBN (Electronic) | 978-1-7281-3412-3 |
DOIs | |
Publication status | Published - 1 May 2019 |
Event | 16th IEEE/ACM International Conference on Mining Software Repositories, MSR 2019 - Montreal, Canada Duration: 26 May 2019 → 27 May 2019 |
Conference
Conference | 16th IEEE/ACM International Conference on Mining Software Repositories, MSR 2019 |
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Country/Territory | Canada |
City | Montreal |
Period | 26/05/19 → 27/05/19 |
Keywords
- Open-source-software
- Software design
- Software quality
- UML